Data Mining in the VISTA Clinical Trials Database

The project aims to apply data mining in the VISTA clinical trails database at the Geriatric Medicine Research Unit. The data contains information about Alzheimer’s disease (AD) patients, some of whom received cholinergic treatment and some of whom did not receive this treatment. Because of the variability of responses to treatment as well as the […]

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Wireless Architectures for Smart Networked Toys

Cistel Technology Inc. is a progressive information technology (IT) services company with a long-standing relationship in the high tech sector and the Federal Government. This internship proposal has both a research and a development component. The research component will concentrate on accessing methods under the IEEE 805.15 protocol that will be used in the prototypes […]

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Large-scale Physical Factors Associated with the 1999 – 2005 Canadian Prairie Drought

Droughts are among Canada’s costliest natural disasters, having major impacts on a wide range of sectors including agriculture, forestry, industry, municipalities, recreation and aquatic ecosystems. The 1999 – 2005 Canadian Prairie drought was the worst drought in at least 100 years in parts of the region and caused considerable environmental and economic hardship. Although much […]

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Real-time Animation of Deformable Objects for Computer Games

Radical Entertainment is a video game developer which creates and develops games for all current and next generation platforms. Each year, computer games become graphically more realistic due to advances in computer technology and animation. The object of this project is simulation of deformable objects (such as a mattress or jelly-like substances) in real-time for […]

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Interaction of Log-Probabilities and Taxonomic Hierarchies

The intern’s project aims to provide a formal mathematical foundation to the weightings applied to terms used to describe complex models (eg mineral deposit models or landslide hazards) when measuring the similarity between models and existing natural phenomena such as mineral occurrences or seemingly dangerous slopes. These weightings are important to correctly matching models with […]

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Segment Pool Allocation Strategy

Video games must be able to present things in ‘real time’, with no delays thus performance is critical. A modern processor can deal much quicker with information that is in one continuous section of memory as opposed to divided into smaller chunks. When information is split, it causes a delay in processing. The intern’s research […]

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Transliteration from Arabic to English

Machine translation has been an active field in Natural Language Processing. Although the quality of translation cannot reach that of a human, it is getting closer. One of the major sub-tasks in this field is ‘transliteration’, which is mapping the letters from the source language to the letters of target language. It would be useful […]

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User Behavior Modeling and Scalabitliy Analyzing for VoIP Network

Eyeball Networks is a leading developer of software for the VoIP, video telephony and instant messaging industry. In this project, the intern will investigate and model user behavior of VoIP networks developed by the company. Based on a statistical user behavior model, he will then develop a test tool to collect specific Quality-of-Service performance metrics, […]

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Correlating Intrusion Scenarios with an Unsupervised Learning Model

The increasing sophistication of distributed attacks on networked infrastructure has resulted in a requirement for tools capable of abstracting and alerting network managers of network status across multiple data sources. The basic objective of this project is to provide a framework for correlating information from multiple network sources into a cohesive picture of system status. […]

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Fusing Structural, Functional and Diffusion Tensor MR Image for Neurological Disorders

Structural Magnetic Resonance Imaging (sMRI) provides high-quality images of soft tissue through the use external magnetic fields and electromagnetic radio-frequency pulses to excite protons abundant in the human body. Diffusion Tensor MRI (dtMRI) is a unique, non-invasive imaging technique capable of measuring the anisotropic diffusion of water molecules in biological tissues. The resulting image reflects […]

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Online Learning for Pinpoint Selling

This internship applies data mining and machine learning techniques to increase conversion rates in the interactive online marketing industry by providing personalized recommendation to specific customer segments. It will consist of two parts. The first part is to classify customers according to what message would resonate. The intern will apply some techniques to improve the […]

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